code: def random_seed(request):
      current_random_seed = os.getenv("PYTEST_RANDOM_SEED")
      if (
          current_random_seed is not None
          and current_random_seed.isdigit()
      ):
          random_seed = int(current_random_seed)
      else:
          random_seed = np.random.randint(0, 1e6)
          os.environ["PYTEST_RANDOM_SEED"] = str(random_seed)
      print("\nRandom seed value:", random_seed)
      return random_seed
  
imports: from cuml.testing.utils import create_synthetic_dataset
  from sklearn.feature_extraction.text import CountVectorizer
  from sklearn import datasets
  from sklearn.datasets import make_regression
  from sklearn.datasets import make_classification
  from sklearn.datasets import fetch_california_housing
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.utils import Bunch
  from datetime import timedelta
  from math import ceil
  import hypothesis
  from cuml.internals.safe_imports import gpu_only_import
  import pytest
  import os
  import subprocess
  import pandas
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 8 for calling a global function with example usage: random_seed(request) and returns: random_seed